Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography
The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. It also provides high reliability for detecting pulmonary nodules and classifying the lesions, thus minimizing intra-observer differences and improving the clinical outcome. In perspective, the advancements may include increasing the size of the annotated data-set and fine-tuning the model due to detection issues of non-solitary nodules.
Authors
- Mohsin Ali
- Jianwei Liu (ORCID: https://orcid.org/0000-0001-9237-1025)
- Ru Jia (ORCID: https://orcid.org/0000-0003-4446-1039)
Institutions
- Inner Mongolia University for Nationalities (CN)
- Tongliao Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1186/s12890-025-03806-7
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00